Publications

Jared Fernandez, Clara Na, Vashsisth Tiwari, Yonatan Bisk, Sasha Luccioni, Emma Strubell (2025). Energy Considerations of Large Language Model Inference and Efficiency Optimizations. Energy Considerations of Large Language Model Inference and Efficiency Optimizations.

PDF

Jared Fernandez, Luca Wehrstedt, Leonid Shamis, Mostafa Elhoushi, Kalyan Saladi, Yonatan Bisk, Emma Strubell, Jacob Kahn (2025). Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training.

PDF

Jacob Morrison, Clara Na, Jared Fernandez, Tim Dettmers, Emma Strubell, Jesse Dodge (2025). Holistically Evaluating the Environmental Impact of Creating Language Models.

PDF

Jared Fernandez, Yonatan Bisk, Emma Strubell (2024). Gradient Localization Improves Lifelong Pretraining of Language Models.

PDF

Jared Fernandez, Saujas Vaduguru, Sanket Vaibhav Mehta, Yonatan Bisk, Emma Strubell (2023). Adapting to Gradual Distribution Shifts with Continual Weight Averaging.

Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell (2023). The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment.

PDF Code

Xiaopeng Lu, Lynnette Ng, Jared Fernandez, Hao Zhu (2021). CIGLI: Conditional Image Generation from Language and image.

PDF Code

Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey (2020). Generative Data Augmentation for Commonsense Reasoning.

PDF Code Project

Michael Chen, Mike D'arcy, Alisa Liu, Jared Fernandez, Doug Downey (2019). CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense.

PDF Code Poster

Jared Fernandez, Doug Downey (2018). Sampling Informative Training Data for RNN Language Models.

PDF Code Poster

Jared Fernandez, Zhaocheng Yu, Doug Downey (2017). VecShare: A Framework for Sharing Word Representation Vectors.

PDF Code Poster